Top Remote Entry Level Jobs in San Antonio, TX

Design and ship UX/UI for AI products, translating ambiguous requirements into polished, buildable interfaces. Own information architecture, interaction design, user flows, and high-fidelity Figma work while collaborating closely with engineers. Design AI-native interactions, data-dense products, progressive disclosure, and reusable design patterns across multiple client builds. Work quickly, make pragmatic scope decisions, and maintain quality in fast-moving, ambiguous environments.

Sells new homes in assigned communities by sourcing and nurturing prospects, communicating home value, guiding customers through design and financing, overcoming objections, closing sales, maintaining transaction documentation, networking with realtors, and meeting community sales goals while providing excellent customer service.

Develop and manage healthcare partner acquisition pipelines through email, phone, and LinkedIn outreach. Conduct high-volume prospecting, schedule qualified meetings for senior leaders, document interactions in the CRM, support contract signature processes, follow up after conferences, and provide weekly progress reports. This part-time role requires at least 10 outreach calls per hour and 10 qualified meetings weekly.

Develops new business for wire drawing materials and lubricants, provides technical customer support, supports sales through customer visits and consulting, researches markets and competitors, and maintains CRM records. The role covers Michigan, Ohio, Indiana, Illinois, Texas, and Florida, with 50–60% travel within the assigned district and elsewhere in the United States as needed.

Implement FAST government software throughout the project lifecycle, from requirements gathering and client consultation through configuration, testing, deployment, and production support. Consultants analyze agency needs, configure functionality using FAST tools and .NET languages, develop SQL queries, investigate complex issues, and collaborate with clients and project teams. The role is fully in-office, client-facing, and requires flexibility to relocate among U.S. project locations every two to three years.

Designs and integrates AI-enabled modernization solutions while establishing quality assurance frameworks for AI-generated code, skills, agents, and prototypes. Develops test plans, acceptance criteria, regression suites, automated testing, security scans, and quality gates. Collaborates with DevOps teams on reliable multi-agent workflows, validates prototypes for production readiness, and monitors accuracy, security, compliance, and data-sensitivity risks.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.

Provides technical support for lighting products through phone and email, troubleshoots customer issues, creates technical documentation, supports advanced sales inquiries, and assists with warranty claims. Collaborates with Product Management, Engineering, management, and external product affiliates to maintain accurate product data and timelines. The role requires strong customer service, deductive reasoning, organizational skills, and the ability to understand technical products and manage projects.

General application for current or future opportunities with CAMS, an energy-sector asset management and operations services provider. Applicants may be considered for roles aligned with their skills, experience, and career interests as opportunities become available.

Provide post-sales technical support for Cato’s cloud networking and security platform. Own customer issues through resolution, troubleshoot complex production problems, mentor support engineers, create knowledge articles, and collaborate with engineering, customer success, professional services, and product management. Serve as a trusted customer advisor by understanding business needs, monitoring customer status, identifying risks and growth opportunities, and helping expand global support services.